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Record W7014941140

The role of natural killer cell receptors in the control of natural killer cell functions

2012· other· en· W7014941140 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typeother
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
Fundersnot available
KeywordsInterleukin 12Lymphokine-activated killer cellInterleukin 21Natural killer cellReceptorNK-92Janus kinase 3CD49b
DOInot available

Abstract

fetched live from OpenAlex

Natural killer (NK) cells possess the ability to destroy abnormal cells such as cancerous and virally-infected cells. A common feature of these cells is the downregulation of class I MHC molecules in an attempt to evade recognition by CD8+ T lymphocytes. "Missing-self" recognition allows NK cells to identify and destroy cells with decreased MHC-I expression. MHC-I receptors are expressed by NK cells, therefore allowing "missing-self" recognition. The major MHC-I receptors on human NK cells are KIR while mouse NK cells express Ly49 receptors. In addition to the recognition of MHC-I on target cells, Ly49 receptors are also involved in the education of NK cells, a process in which developing NK cells acquire effector functions.In human, KIR haplotypes vary greatly between individuals and the same phenomenon is observed in mice; Ly49 haplotypes differ in various mouse strains. Sequencing of the non-obese diabetic (NOD) Ly49 haplotype revealed that this strain encodes for the largest Ly49 haplotype known to date. The NOD Ly49 cluster is characterized by the largest number of genes coding for activating Ly49 receptors. The presence of a large number of Ly49 activating receptors may affect NK cell activation status and influence the development of diabetes in NOD mice.To gain insight in the in vivo role of Ly49 receptors in the control of NK cell activity, a NKC-knockdown mouse was generated. NK cells from these mice show greatly decreased expression of NKC-encoded receptors such as Ly49. NKC-knockdown NK cells have reduced lysis of MHC-I-negative target cells in vitro and in vivo. The ability of NK cells to destroy MHC-I-negative cells is restored by the re-introduction of a single Ly49 receptor. These results provide the first direct evidence that Ly49 receptors are involved in the in vivo surveillance of MHC-I molecules. Interestingly, the absence of Ly49 receptors results in defective "missing-self" recognition but activation of NK cells by MHC-I-independent mechanisms is not impaired.NKR-P1 receptors, which bind to Clr proteins, are members of another receptor family expressed by NK cells. Interestingly, the genes coding for NKR-P1 and Clr ligands are located in the same cluster and are therefore inherited together. Previous analyses demonstrated that the Nkrp1-Clr gene cluster is conserved in B6 and BALB/c mice. Mapping of the 129-strain cluster confirmed the high degree of conservation of the Nkrp1-Clr gene order in 129-strain mice. Gene sequencing revealed conservation of 129 and BALB/c Nkrp1 and Clr genes and divergence from the B6 genes, suggesting that the 129 cluster is more closely related to the BALB/c cluster than to the B6 cluster.Taken together, the Ly49 receptor family varies greatly in contrast with the highly conserved NKR-P1 receptors. Loss of Ly49 receptor expression reveals that Ly49 receptors are required for the acquisition of "missing-self" responses by NK cells.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.002
GPT teacher head0.132
Teacher spread0.131 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicImmune Cell Function and Interaction→French-language works237,207→